Research on Nested Named Entity Recognition in Missile Field Text

doi:10.16182/j.issn1004731x.joss.22-0456

Abstract

Jingwen Guan, Xiao Song, Xiaoqing Li, Tong Yang, Junhua Zhou. Research on Nested Named Entity Recognition in Missile Field Text[J]. Journal of System Simulation, 2023, 35(8): 1757-1767.

Figures/Tables 11

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References 19

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统计量	值
总字数	409 224
总句数	3 581
总实体数	6 021
嵌套实体数	1 840
嵌套实体占比/%	30.56

	B-Model	I-Model	B-Object	I-Object	O
B-Model	0.43	0.81	0.04	0.07	0.36
I-Model	0.52	0.71	0.35	0.12	0.44
B-Object	0.45	0.21	0.63	0.73	0.50
I-Object	0.62	0.18	0.46	0.65	0.54
O	0.42	0.12	0.40	0.13	0.61
…	…	…	…	…	…

参数	值
学习率	3×10^-5
学习衰减率	0.01
学习算法	Adam
训练轮次	20
Batch size	8
Dropout值	0.1

实验方法	精确率	召回率	F1值
BiLSTM-CRF^[6]	0.503 4	0.501 9	0.502 6
Bert-BiLSTM-CRF^[7,19]	0.653 5	0.692 3	0.672 3
BERT-MRC^[16]	0.695 4	0.723 1	0.709 0
Roberta-BiLSTM-CRF^[18-19]	0.699 3	0.723 8	0.711 3
MRC-NER-LF	0.703 5	0.742 3	0.722 4

实体类型	精确率	召回率	F1值
Object	0.678 6	0.950 0	0.791 7
Model	0.688 9	0.584 9	0.632 7
Method	0.600 0	0.486 5	0.537 3
Parameter	0.605 3	0.500 0	0.547 6
Function	0.500 0	0.375 0	0.428 6
Behavior	0.500 0	0.277 8	0.357 1

Research on Nested Named Entity Recognition in Missile Field Text

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Figures/Tables 11

References 19

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实验方法	精确率	召回率	F1值
BERT-BiLSTM-CRF	0.573 4	0.351 5	0.435 8
Layered-BiLSTM-CRF	0.553 4	0.541 0	0.547 1
BERT-MRC	0.600 3	0.602 2	0.598 4
MRC-NER-LF	0.617 2	0.621 2	0.613 2

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